CoolFace
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MQA

clips /mqaMQA is a multilingual corpus of questions and answers parsed from the Common Crawl. Questions are divided between Frequently Asked Questions (FAQ) pages and Community Question Answering (CQA) pages.textquestion-answering100M<n<1B57 likes984 downloads4y agoHugging FaceTime-MQA /TSQAgated Time Series Question Answering Dataset (TSQA) Introduction TSQA dataset is a large-scale collection of ~200,000 QA pairs covering 12 real-world application domains such as healthcare, environment, energy, finance, transport, IoT, nature, human activities, AIOps, and the web. TSQA also includes 5 task types: forecasting, imputation, anomaly detection, classification, and open-ended reasoning. Within the open-ended reasoning QA, the dataset includes 6,919 true/false… See the full description on the dataset page: https://huggingface.co/datasets/Time-MQA/TSQA.question-answering100M<n<1B16 likes364 downloads1y agoHugging Facevineet-datasets /agentic-mqa-objects3dn<1K0 likes261 downloads4d agoHugging Facehpprc /mqa-jamqaデータセットのquery--passageのペアについて重複を削除したデータセットです。 元データ中のノイジーなテキストのクリーニングやNFKC正規化などの前処理を行ってあります。 dataset subsetのpos_idsおよびneg_ids中のidは、collectionsubsetのインデックス番号に対応しています。 したがって、collection[pos_id]のようにアクセスしてもらえれば所望のデータを得ることができます。 ライセンスは元データセットに従います。 text10M<n<100M6 likes178 downloads2y agoHugging Faceamao0o0 /spoken-mqa@article{wei2025towards, title={Towards Spoken Mathematical Reasoning: Benchmarking Speech-based Models over Multi-faceted Math Problems}, author={Wei, Chengwei and Wang, Bin and Kim, Jung-jae and Chen, Nancy F}, journal={arXiv preprint arXiv:2505.15000}, year={2025} } audio1K<n<10K5 likes112 downloads1y agoHugging Facemkairov /mqar_N8_V8192_L24_noise0.91M<n<10M0 likes76 downloads29d agoHugging Face